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Article

Cost Allocation Methods and Their Properties in Energy Communities

by
David González-Asenjo
1,2,
Luis R. Izquierdo
1,* and
Segismundo S. Izquierdo
3
1
Department of Management Engineering, Universidad de Burgos, 09006 Burgos, Spain
2
Instituto Tecnológico de Castilla y León, 09001 Burgos, Spain
3
Department of Industrial Organization and BioEcoUva, Universidad de Valladolid, 47011 Valladolid, Spain
*
Author to whom correspondence should be addressed.
Energies 2025, 18(23), 6236; https://doi.org/10.3390/en18236236
Submission received: 30 September 2025 / Revised: 20 November 2025 / Accepted: 25 November 2025 / Published: 27 November 2025

Abstract

Energy communities enable prosumers to jointly operate distributed energy resources and thereby generate economic benefits that exceed those achievable individually. A central challenge in their implementation is selecting a Cost Allocation Method (CAM) that distributes these benefits fairly among heterogeneous participants. Although numerous CAMs have been proposed, they are often evaluated under different assumptions, making direct comparison difficult. This paper develops a unified axiomatic framework for assessing CAMs in energy communities and applies it to eight representative methods classified in three families: simple rules, savings-based, and price-based. The framework is built around seven desirable properties capturing principles of fairness, environmental friendliness, and continuity. Our main contribution is a comparative table that positions all methods within a single evaluative space and reveals the structural trade-offs that arise across CAMs. The analysis shows that the Average-Price CAM satisfies the same axiomatic properties as the Shapley method while remaining computationally trivial, making it an attractive practical option. We also show that the Extreme-Price CAM is the only price-based method that ensures the property of Beneficial Group Participation (core stability); however, this method violates other properties related to environmental friendliness and continuity—trade-offs we prove to be unavoidable for price-based rules. Finally, we conjecture that the nucleolus satisfies all seven properties, although its computation is rarely feasible in practice. The proposed framework provides researchers and practitioners with a transparent foundation for selecting and designing cost allocation methods in emerging energy communities.
Keywords: energy communities; cost allocation; fairness; nucleolus; Shapley value energy communities; cost allocation; fairness; nucleolus; Shapley value

Share and Cite

MDPI and ACS Style

González-Asenjo, D.; Izquierdo, L.R.; Izquierdo, S.S. Cost Allocation Methods and Their Properties in Energy Communities. Energies 2025, 18, 6236. https://doi.org/10.3390/en18236236

AMA Style

González-Asenjo D, Izquierdo LR, Izquierdo SS. Cost Allocation Methods and Their Properties in Energy Communities. Energies. 2025; 18(23):6236. https://doi.org/10.3390/en18236236

Chicago/Turabian Style

González-Asenjo, David, Luis R. Izquierdo, and Segismundo S. Izquierdo. 2025. "Cost Allocation Methods and Their Properties in Energy Communities" Energies 18, no. 23: 6236. https://doi.org/10.3390/en18236236

APA Style

González-Asenjo, D., Izquierdo, L. R., & Izquierdo, S. S. (2025). Cost Allocation Methods and Their Properties in Energy Communities. Energies, 18(23), 6236. https://doi.org/10.3390/en18236236

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